Published as a conference paper at ICLRA DAM : A M ETHOD FOR S TOCHASTIC O PTIMIZATION Diederik P. Kingma* University of Amsterdam

Source URL: arxiv.org

• M-estimators
• Computational statistics
• Computational neuroscience
• Estimation theory
• Stochastic optimization
• Stochastic gradient descent
• Deep learning
• Artificial neural network
• Convolutional neural network
• Mathematical optimization
• Loss function
• Feature learning

Mach Learn:3–39 DOIs10994A majorization-minimization approach to the sparse generalized eigenvalue problem Bharath K. Sriperumbudur · David A. Torres ·

Source URL: eceweb.ucsd.edu

• Multivariate statistics
• Operations research
• Mathematical optimization
• Numerical linear algebra
• Dimension reduction
• Sparse PCA
• Sparse approximation
• Principal component analysis
• Limit of a function
• Convex optimization
• Semidefinite programming
• K-SVD

Model diagnostics in multi-state models of biological systems A dissertation submitted to the University of Cambridge Department of Pure Mathematics and Mathematical Statistics for the degree of Doctor of Philosophy

Source URL: www.maths.lancs.ac.uk

• Markov models
• Markov chain
• Markov property
• Monte Carlo method
• Phase-type distribution

Institute of Mathematical Statistics is collaborating with JSTOR to digitize, preserve, and extend access to The Annals of Probability. ® www.jstor.org 

Source URL: www.math.csi.cuny.edu

Volume 41 • Issue 1 IMS  Bulletin January/February 2012

Source URL: bulletin.imstat.org

• Stochastic processes
• Random walk
• Stochastic
• Brownian motion
• Mathematical statistics
• Probability distribution
• Oded Schramm
• Murray Rosenblatt
• Statistics
• Bernoulli Society for Mathematical Statistics and Probability
• Laurent Saloff-Coste
• Gaussian process

MMDS 2012: Workshop on Algorithms for Modern Massive Data Sets Cubberley Auditorium Stanford University

Source URL: mmds-data.org

• Cybernetics
• Multivariate statistics
• Operations research
• Learning
• Machine learning
• Algorithm
• Support vector machine
• Mathematical optimization
• Big data
• Geographic information system
• Non-negative matrix factorization

AUTOMATIC MAP FEATURE EXTRACTION USING ARTIFICIAL NEURAL NETWORKS Itthi Trisirisatayawong and Mark R. Shortis Department of Geomatics University of Melbourne Parkville VIC 3052 AUSTRALIA

Source URL: mapcontext.com

• Machine learning
• Artificial neural networks
• Computational neuroscience
• Computational statistics
• Mathematical psychology
• Pattern recognition
• Backpropagation
• Statistical classification
• Image segmentation
• Supervised learning
• Deep learning
• Book:Machine Learning The Complete Guide

Vol. 22 (2), 2015 Contents News from the Bernoulli Society p. 2

Source URL: www.bernoulli-society.org

• Bernoulli Society for Mathematical Statistics and Probability
• Fellows of the Royal Society
• Wilfrid Kendall
• Bernoulli family
• Stochastic Processes and their Applications
• Electronic Journal of Probability
• Electronic Communications in Probability
• Bin Yu
• Sara van de Geer
• Jacob Bernoulli
• Elart von Collani

Institute of Mathematical Statistics is collaborating with JSTOR to digitize, preserve, and extend access to The Annals of Probability. ® www.jstor.org 

Source URL: www.math.csi.cuny.edu

Electronic Journal of Differential Equations, Monogrpah 04, 2003. ISSN: URL: http://ejde.math.swt.edu or http://ejde.math.unt.edu ftp ejde.math.swt.edu (login: ftp) Homogeneous Boltzmann equation in quantum re

Source URL: ejde.math.unt.edu

• Statistical mechanics
• Quantum mechanics
• Thermodynamics
• Thermodynamic entropy
• Mathematical physics
• H-theorem
• Boltzmann equation
• Ludwig Boltzmann
• Entropy
• Bose gas
• BoseEinstein statistics
• FermiDirac statistics